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Learning Types

32,670 papers (1 classified directly here)

Representation Learning (5,307) Multimodal Learning (3,969) Self-Supervised Learning (3,492) Transfer Learning (2,890) Adversarial Learning (2,199) Deep Learning (1,883) Contrastive Learning (1,730) Reinforcement Learning (1,500) Knowledge Distillation (1,494) Fine-Tuning (1,117) Multi-Task Learning (1,069) Domain Adaptation (977) Zero-Shot Learning (758) Unsupervised Learning (734) Few-Shot Learning (694) Classification (621) Retrieval-Augmented Generation (606) Data Augmentation (583) Semi-Supervised Learning (450) Weakly Supervised Learning (429) Continual Learning (408) In-Context Learning (387) Sequence Modeling (375) Meta-Learning (252) Metric Learning (232) Ensemble Learning (223) Federated Learning (215) Multi-Lingual Learning (199) Robustness (197) Parameter-Efficient Fine-Tuning (190) Imitation Learning (180) Prompt Engineering (170) Chain-of-Thought Reasoning (153) Curriculum Learning (146) Synthetic Data Generation (143) Reinforcement Learning from Human Feedback (141) Multi-Label Classification (123) Regression (117) Generative Model (109) Semantic Segmentation (106) Domain Generalization (105) Uncertainty Quantification (98) Controllable Generation (93) Text Generation (86) Neural Architecture Search (80) Object Detection (80) Image Generation (79) Multi-Agent Systems (76) Feature Learning (74) Preference Learning (73) Machine Translation (71) Out-of-Distribution Detection (68) Machine Unlearning (63) Generation (61) Reasoning (54) Multi-View Learning (53) Time Series (52) Instruction Tuning (50) Distributed Learning (50) Image Restoration (49) Chain-of-Thought (48) Active Learning (47) Text Classification (43) Distribution Shift (43) Structured Prediction (42) Clustering (41) Image Classification (40) Model Merging (37) Sparse Learning (36) Sequence Labeling (36) Multi-Instance Learning (35) Anomaly Detection (33) Image Processing (33) Code Generation (31) Fairness (30) Robust Learning (28) Multi-Domain Learning (27) Supervised Learning (26) Model-Based RL (25) Natural Language Generation (24) Privacy (21) Multi-Objective Optimization (19) Multi-Scale Learning (19) Neural Machine Translation (18) Causal Inference (14) Instance Segmentation (9) Interactive Learning (9) Multi-Label Learning (9) Multi-Source Learning (9) Multi-Class Classification (8)
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Papers (including subtopics)

T-Modules: Translation Modules for Zero-Shot Cross-Modal Machine Translation EMNLP 2022 TokenMixup: Efficient Attention-guided Token-level Data Augmentation for Transformers NeurIPS 2022 ToKen: Task Decomposition and Knowledge Infusion for Few-Shot Hate Speech Detection EMNLP 2022 Tokenwise Contrastive Pretraining for Finer Speech-to-BERT Alignment in End-to-End Speech-to-Intent Systems Interspeech 2022 Toolbox for Multimodal Learn (scikit-multimodallearn) JMLR 2022 Top-Down Deep Clustering with Multi-Generator GANs AAAI 2022 Topic Modeling by Clustering Language Model Embeddings: Human Validation on an Industry Dataset EMNLP 2022 Topologically-Aware Deformation Fields for Single-View 3D Reconstruction CVPR 2022 Topology-Aware Network Pruning using Multi-stage Graph Embedding and Reinforcement Learning ICML 2022 To Smooth or Not? When Label Smoothing Meets Noisy Labels ICML 2022 Touch and Go: Learning from Human-Collected Vision and Touch NeurIPS 2022 Toward a realistic model of speech processing in the brain with self-supervised learning NeurIPS 2022 Toward Efficient Robust Training against Union of ℓ_p Threat Models NeurIPS 2022 Toward Physically Realizable Quantum Neural Networks AAAI 2022 Toward Practical Monocular Indoor Depth Estimation CVPR 2022 Toward Robust Spiking Neural Network Against Adversarial Perturbation NeurIPS 2022 Towards Abstractive Grounded Summarization of Podcast Transcripts ACL 2022 Towards Accurate Facial Motion Retargeting with Identity-Consistent and Expression-Exclusive Constraints AAAI 2022 Towards Adversarially Robust Text Classifiers by Learning to Reweight Clean Examples ACL 2022 Towards Arabic Sentence Simplification via Classification and Generative Approaches EMNLP 2022 Towards a Rigorous Evaluation of Time-Series Anomaly Detection AAAI 2022 Towards a Unified Multi-Dimensional Evaluator for Text Generation EMNLP 2022 Towards a Unified View of Parameter-Efficient Transfer Learning ICLR 2022 Towards Bidirectional Arbitrary Image Rescaling: Joint Optimization and Cycle Idempotence CVPR 2022 Towards Cross-Domain Transferability of Text Generation Models for Legal Text EMNLP 2022